Distributed Vehicle Cloud Layers for Real-Time Data Processing

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Solution Overview

Problem

Conventional vehicle cloud technology inefficiently stores and analyzes data, leading to resource waste and inability to keep pace with rapid technological advancements, as it simply collects and stores data without effective processing or timely reflection in vehicle performance improvement or development.

Innovation Solution

A multilayered distributed cloud computing system that collects and processes vehicle status data in real time, with each layer handling data differently: the first layer collects and processes real-time data, the second layer processes and stores with a time delay, and the third layer generates advanced analytics for vehicle behavior and performance insights, allowing for efficient data management and utilization.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If a conventional cloud server simply collects and stores all vehicle data without processing, then data storage capacity is maximized, but resource waste increases and data analysis efficiency decreases

Engineering Contradiction:

Improvedata storage capacityVSAvoidresource waste

Core Design Contradiction:

Quantity of substanceVSLoss of energy

Solution Approach 1:

The cloud server is divided into multiple layers (first layer, second layer, third layer), each responsible for different data processing tasks. The first layer collects and stores raw data, the second layer processes data with time delays to generate analyzed results, and the third layer performs advanced analytics. This segmentation allows efficient resource utilization while maintaining comprehensive data storage capabilities.

Inventive Principle:

Principle #1Segmentation

2Duration of action of stationary object

If data is stored for a predetermined period (2-3 years) for analysis, then historical data availability is improved, but the system cannot keep pace with rapid technological development

Engineering Contradiction:

Improvedata retention periodVSAvoidtechnological development speed

Core Design Contradiction:

Duration of action of stationary objectVSProductivity

Solution Approach 1:

The system performs preliminary data processing and analysis at multiple layers before data becomes obsolete. The second layer processes data with predetermined time delays to generate analyzed results, while the third layer performs advanced analytics on behavior patterns. This allows the system to extract value from historical data while maintaining the ability to rapidly adapt to new technological requirements.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The multilayered architecture enables dynamic data processing where different layers can operate at different time scales. The first layer handles real-time data collection, the second layer processes data with time delays, and the third layer performs advanced analytics. This dynamic structure allows the system to simultaneously maintain historical data and rapidly respond to new technological developments.

Inventive Principle:

Principle #15Dynamics

3Productivity

If a multilayered cloud server structure is implemented to process and store data by layers, then data processing efficiency and resource utilization are improved, but system complexity increases

Engineering Contradiction:

Improvedata processing efficiencyVSAvoidsystem structure complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The cloud server is divided into three distinct layers with clearly defined responsibilities: the first layer collects and stores raw vehicle data in real-time, the second layer processes data with time delays to generate analyzed results, and the third layer performs advanced analytics on behavior patterns. This segmentation improves processing efficiency while managing complexity through clear functional separation.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

Each layer in the multilayered structure serves multiple functions. For example, the first layer not only collects data but also performs initial real-time processing. The second layer both processes data with time delays and stores analyzed results. This multi-functionality reduces overall system complexity while maintaining high processing efficiency.

Inventive Principle:

Principle #6Universality (Multi-functionality)

4Speed

If real-time data processing is performed at the first layer, then vehicle operation control speed is improved, but data storage requirements increase

Engineering Contradiction:

Improvereal-time processing speedVSAvoiddata storage requirements

Core Design Contradiction:

SpeedVSQuantity of substance

Solution Approach 1:

The system extracts and processes only the most critical data in real-time at the first layer for immediate vehicle operation control. Less time-sensitive data is processed with delays at the second layer. This extraction approach allows real-time processing of essential data while reducing overall storage requirements by processing other data asynchronously.

Inventive Principle:

Principle #2Taking out (Extraction)

Data Source

PatentUS11851071B2System for controlling vehicles using distributed cloud computing

Publication Date: 2023.12.26 HYUNDAI MOTOR CO LTD

AI summary

A system for controlling vehicles using distributed cloud computing is provided. The system includes a first layer cloud server for collecting vehicle status data generated in a vehicle from the vehicle in real time and processing the collected data in real time. A second layer cloud server receives the vehicle status data generated in the vehicle, data collected by the first layer cloud server or data processed in the first layer cloud server, processes the received data, stores the processed data, and provides the stored data to the vehicle directly or via the first layer cloud server.